|
|
|
Abstract :
The growing world population needs more food, with less water available for agriculture. This situation can only improve if water is managed more effectively leading to increased crop yield per unit of water consumed. Crop yield is the ultimate indicator for describing agricultural response to water resources management (Molden and Sakthivadivel).
Most of the research for estimation of rice yield have been carried out with vegetation indices namely Normalized Difference Vegetation Index NDVI which is calculated through the reflectance of red and infrared bands. But the assessment of rice yield with NDVI method has overestimated the actual yield by approximately 30%.
This paper presents the feasibility of applying remote sensing techniques to assess the near real time yield of rice crops using biomass production in large irrigation systems leading proper decisions towards the crop productivity.
A major advantage in the measurement of biomass through the remote sensing methods is that it captures the spatial heterogeneity. Since the MODIS images have daily images, it captures the spatio-temporal distribution of bio mass development. Therefore in this research, the MODIS images are used for the determination of biomass production.
|
|
|